3 papers
cs.NI2026
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Fangtong Zhou, Xiaorui Liu, Ruozhou Yu +1
Traffic Engineering (TE) in large-scale networks like cloud Wide Area Networks (WANs) and Low Earth Orbit (LEO) satellite constellations is a critical challenge. Although learning-…
cs.NI2025
Moving Edge for On-Demand Edge Computing: An Uncertainty-aware Approach
Fangtong Zhou, Ruozhou Yu
We study an edge demand response problem where, based on historical edge workload demands, an edge provider needs to dispatch moving computing units, e.g. truck-carried modular dat…
cs.LG2024
Efficient End-to-end Language Model Fine-tuning on Graphs
Rui Xue, Xipeng Shen, Ruozhou Yu +1
Learning from Text-Attributed Graphs (TAGs) has attracted significant attention due to its wide range of real-world applications. The rapid evolution of language models (LMs) has r…